吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 120-123.

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Optimization of shadow elimination algorithm and implementation base on DSP

ZHU Yu-hong, CHEN He-xin, ZHANG Yan   

  1. College of Communication Engineering, Jilin University, Changchun 130012, China
  • Received:2012-06-05 Published:2013-06-01

Abstract:

A algorithm of shadow elimination based "Double rectangles" was optimized,it was in HSV color space.The algorithm may extract the moving object totally by reducing the influence of noise and has good real-time performance.It was realized on TMS320DM642 Video/Imaging DSP.The mode of video capturing was set and the program of DSP was optimized.First,the color space conversion was carried out.Secondly,rectangular moving region was first detected roughly according to the difference video frames based on V component and further accurate located by background subtraction video frames of S component.Finally,it fused targets information of each component in the detected moving region.The capture of targets was accomplished and it had good real-time performance.The results of experiments show that the motion detection algorithm can eliminate shadow fairly good and has good detection result of moving objects.

Key words: motion detection, shadow elimination, double rectangles, threshold segmentation

CLC Number: 

  • TN911.73

[1] Zhao T,Nevatia R.Tracking multiple humans in complex situations[J].IEEE Trans Pattern Analysis and Machine Intelligence,2004,26(9):1208-1221.

[2] Rafael C Gonzalez,Richard E Woods.Didital image proccessing using MATLAB[M].Beijing:Publish House of Electronics Industry,2009.

[3] Cucchiara R,Crana C,Piccardi M,et al.Improving shadow suppression in moving object detection with HSV color information[C]//The Proc of IEEE International Conference on Intelligent Transportation Systems.Oakland(CA),USA,2001:334-339.

[4] Kilger M.A shadow handler in a video-based real-time traffic monitoring system[C]//The Proc of IEEE Workshop on Applications of Computer Vision.Palm Springs,CA,1992:11-18.

[5] 林坤杰,万晓东.基于边缘信息及光照方向的阴影检测算法[J].计算机工程,2009,35(20):192-196. LIN Kun-jie,WAN Xiao-dong.Shadow detection algorithm based on edge information and illumination direction[J].Computer Engineering,2009,35(20):192-196.

[6] 刘雪,常发亮,王华杰.运动目标检测中的阴影去除方法[J].微处理机,2008(5):116-117. LIU Xue,CHANG Fa-liang,WANG Hua-jie.An shadow suppression method in detecting moving object[J].Microprocessors,2008(5):116-117.

[7] 张燕.移动侦测的抗干扰算法研究[D].长春:吉林大学,2011. Zhang Yan.Research on anti-interference algorithm of motion detection[D].Changchun:Jilin University,2011.

[8] Surendra Gupte,Osama Masoud,Robert F K Martin,et al.Papanikolopoulos,detetion and classification of vehicles[J].IEEE Transactions on Intelligent Transportation Systems,2002,3(1):37-47.

[9] Ti,Inc.TMS320DM642 Video/Imaging Fixed-Point Digital Signal Processor (Rev.D)[EB/OL].(2010-10-19).http://www.ti.com/product/sm320dm642-ep.

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